The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 404 files from 1 741 authors, of which 61 763 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
| Implement Algolia Insights API for click/conversion tracking, search analytics, and real-time event-driven index updates via database change listeners. "algolia click tracking", "algolia conversion", "algolia event tracking".
| Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth. it uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. use this skill when the u... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
| Process use when you need to work with database indexing. This skill provides index design and optimization with comprehensive guidance and automation. Trigger with phrases like "create indexes", "optimize indexes", or "improve query performance".
| Analyze DEX liquidity pools for TVL, volume, fees, impermanent loss, and LP profitability. Use when analyzing liquidity pools, calculating impermanent loss, or comparing DEX pools. Trigger with phrases like "analyze liquidity pool", "calculate impermanent loss", "LP returns", "pool TVL", "DEX pool metrics", or "compare pools".
Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".
| Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
| Monitor blockchain mempools for pending transactions, gas analysis, and MEV opportunities. Use when analyzing pending transactions, optimizing gas prices, or researching MEV. Trigger with phrases like "check mempool", "scan pending txs", "find MEV", "gas price analysis", or "pending swaps".
Analyze network latency and optimize request patterns for faster communication. Use when diagnosing slow network performance or optimizing API calls. Trigger with phrases like "analyze network latency", "optimize API calls", or "reduce network delays".
| Calculate NFT rarity scores and rank tokens by trait uniqueness. Use when analyzing NFT collections, checking token rarity, or comparing NFTs. Trigger with phrases like "check NFT rarity", "analyze collection", "rank tokens", "compare NFTs".
| Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".
| Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
| Execute use when you need to work with query optimization. This skill provides query performance analysis with comprehensive guidance and automation. Trigger with phrases like "optimize queries", "analyze performance", or "improve query speed".
Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like "analyze throughput", "optimize capacity", or "identify bottlenecks".
| Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
| Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
| Configure CI/CD pipeline for automated Figma-to-code generation with Anima. Use when automating design-to-code in GitHub Actions, setting up PR-based component generation, or integrating Anima into design handoff workflows.
| Diagnose and fix common Anima SDK design-to-code errors. Use when encountering Figma token errors, code generation failures, node not found issues, or output quality problems.
| Build automated Figma-to-React pipeline with the Anima SDK. Use when automating design handoff, building CI/CD design-to-code workflows, or creating a design system code generator from Figma components. "automated design handoff", "anima component generator".
| Clone websites to React/HTML code and customize Anima output with AI. Use when converting live websites to code, customizing generated components, or building design-system-aware code from URL screenshots. "website to react", "clone website to code".
| Optimize Anima API costs through caching, incremental generation, and tier selection. Use when managing Anima API usage, reducing unnecessary code generations, or right-sizing your Anima plan for team size.
| Collect Anima SDK debug evidence for support tickets and troubleshooting. Use when filing Anima support requests, debugging code generation issues, or collecting diagnostic data for the Anima team.
| Deploy Anima design-to-code service as a backend API endpoint. Use when building a design-to-code microservice, deploying Anima SDK as a serverless function, or creating an internal design tool API.
| Generate React/Vue/HTML code from a Figma design using the Anima SDK. Use when testing design-to-code conversion, learning Anima's code output format, or building your first automated design-to-code pipeline. "figma to code", "anima generate code".
| Install the Anima SDK and configure authentication for Figma-to-code generation. Use when setting up design-to-code automation, configuring Figma token access, or initializing the @animaapp/anima-sdk for server-side code generation.
| Set up iterative design-to-code development loop with Anima SDK. Use when rapidly iterating on Figma-to-code output, comparing framework outputs, or building a local preview server for generated components.
| Optimize Anima code generation performance with caching, parallelism, and output tuning. Use when reducing generation latency, optimizing batch component generation, or improving generated code quality for production use.
| Production readiness checklist for Anima design-to-code pipelines. Use when deploying automated design-to-code services, preparing CI/CD Figma-to-code automation, or validating output quality before production.
| Implement rate limiting for Anima API code generation requests. Use when batching component generation, handling rate limit errors, or optimizing API throughput for large design systems.
| Implement reference architecture for Anima design-to-code automation. Use when designing a design system automation pipeline, structuring a Figma-to-React project, or planning team-scale design handoff. "anima project structure", "figma automation architecture".
| Apply production-ready patterns for the Anima SDK design-to-code pipeline. Use when building reusable Anima client wrappers, implementing output caching, or establishing team standards for design-to-code automation.
| Secure Anima and Figma tokens for design-to-code pipelines. Use when protecting API credentials, restricting Figma access scope, or hardening CI/CD design automation pipelines.
| Upgrade @animaapp/anima-sdk versions and handle API changes. Use when upgrading SDK versions, migrating from the Figma plugin workflow to SDK-based automation, or adapting to new Anima API features.
| Use Figma webhooks to trigger automatic Anima code generation on design changes. Use when building event-driven design-to-code pipelines, auto-generating components when Figma files change, or integrating design updates into CI.
| This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unusual data points. Use this skill when the user requests anomaly detection, outlier analysis, or identification of unusual patterns in data. Trigger this skill when the user mentions "anomaly detection," "outlier analysis," "unusual data," or requests insights into data irregularities.
| Anomaly Detector - Auto-activating skill for Data Analytics. Part of the Data Analytics skill category.
| This skill creates Ansible playbooks for automating configuration management tasks. It generates production-ready, multi-platform playbooks based on user-defined requirements, incorporating best practices and a security-first approach. Use this skill when you need to automate server configurations, software deployments, or infrastructure management using Ansible. Trigger this skill by requesting "Ansible playbook," specifying configuration details, or asking for automation of a particular setup.
| Ansible Playbook Generator - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Ansible Role Creator - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Debug complex Claude API issues including context window overflow, tool use failures, streaming corruption, and response quality problems. Trigger with phrases like "anthropic advanced debug", "claude complex issue", "claude tool use failing", "claude context overflow".
| serverless, microservice, event-driven, and edge deployment. Trigger with phrases like "anthropic architecture", "claude serverless", "claude microservice design", "edge claude deployment".
| Configure CI/CD pipelines for Anthropic Claude API integrations. Use when setting up automated testing, prompt regression tests, or CI validation for Claude-powered features. Trigger with phrases like "anthropic ci", "claude ci/cd", "test claude in pipeline", "anthropic github actions".
| Diagnose and fix Anthropic Claude API errors by HTTP status code. Use when encountering API errors, debugging failed requests, or troubleshooting authentication, rate limiting, or input validation issues. Trigger with phrases like "anthropic error", "claude api error", "fix anthropic 429", "claude not working", "debug claude api".
| Build Claude tool use (function calling) workflows with the Messages API. Use when implementing tool use, function calling, agent loops, or building AI assistants that interact with external systems. Trigger with phrases like "claude tool use", "anthropic function calling", "claude tools", "agent loop anthropic", "tool_use blocks".
| Build Claude streaming and Message Batches API workflows. Use when implementing real-time streaming responses, SSE event handling, or processing bulk requests with the 50% cheaper Batches API. Trigger with phrases like "claude streaming", "anthropic batch", "message batches api", "SSE events anthropic", "stream claude response".
| Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. Use when analyzing Claude API billing, reducing costs, or implementing cost controls and budget alerts. Trigger with phrases like "anthropic cost", "claude billing", "reduce claude spend", "anthropic budget", "claude pricing optimize".
| Implement data privacy, PII handling, and compliance patterns for Claude API. Use when handling sensitive data, implementing PII redaction, or configuring data retention for GDPR/CCPA compliance with Claude. Trigger with phrases like "anthropic data privacy", "claude PII", "anthropic gdpr", "claude data handling", "redact data claude".
| Collect Anthropic Claude API debug evidence for support and troubleshooting. Use when encountering persistent API issues, preparing support tickets, or collecting diagnostic information including request IDs and rate limit headers. Trigger with phrases like "anthropic debug", "claude debug bundle", "collect anthropic logs", "anthropic diagnostic", "claude support ticket".
| Deploy Claude API integrations to production cloud environments. Use when deploying Claude-powered services to Docker, Cloud Run, ECS, or Kubernetes with proper secret management and health checks. Trigger with phrases like "deploy anthropic", "claude production deploy", "ship claude integration", "anthropic cloud deployment".
| Configure Anthropic enterprise organization management, Workspaces, and role-based access control for teams. Trigger with phrases like "anthropic enterprise", "claude rbac", "anthropic workspaces", "claude team access", "anthropic organization".
| Create a minimal working Anthropic Claude Messages API example. Use when starting a new Claude integration, testing your setup, or learning basic Messages API patterns for text, vision, and streaming. Trigger with phrases like "anthropic hello world", "claude api example", "anthropic quick start", "simple claude code", "first messages api call".
| Execute incident response procedures for Claude API outages and degradation. Use when Claude API is returning errors, experiencing high latency, or showing degraded performance in production. Trigger with phrases like "anthropic incident", "claude api down", "anthropic outage", "claude degraded", "anthropic runbook".
| Install and configure Anthropic Claude SDK authentication for Python and TypeScript. Use when setting up a new Claude API integration, configuring API keys, or initializing the Anthropic SDK in your project. Trigger with phrases like "install anthropic", "setup claude api", "anthropic auth", "configure anthropic API key", "claude sdk setup".
| Identify and avoid common Claude API anti-patterns and integration mistakes. Use when reviewing code, onboarding developers, or debugging subtle issues with Anthropic integrations. Trigger with phrases like "anthropic pitfalls", "claude anti-patterns", "claude mistakes", "anthropic common issues", "claude gotchas".
| Implement load testing, auto-scaling, and capacity planning for Claude API. Use when running performance benchmarks, planning for traffic spikes, or configuring horizontal scaling for Claude-powered services. Trigger with phrases like "anthropic load test", "claude scaling", "anthropic capacity planning", "scale claude api".
| Configure a local development workflow for Anthropic Claude API projects. Use when setting up dev environment, configuring hot reload, or establishing a fast iteration cycle with the Messages API. Trigger with phrases like "anthropic local dev", "claude dev setup", "anthropic development workflow", "test claude locally".
| Migrate to Claude API from OpenAI, Gemini, or other LLM providers. Use when switching from GPT-4 to Claude, migrating from Text Completions, or building a multi-provider abstraction layer. Trigger with phrases like "migrate to claude", "openai to anthropic", "switch from gpt to claude", "multi-provider llm".
| Configure Claude API across dev, staging, and production environments with isolated keys, model routing, and spend controls per environment. Trigger with phrases like "anthropic environments", "claude multi-env", "anthropic staging setup", "claude dev vs prod config".
| Set up observability for Claude API integrations with metrics, logging, and alerting for latency, cost, errors, and token usage. Trigger with phrases like "anthropic monitoring", "claude observability", "anthropic metrics", "track claude usage", "claude dashboard".
| Optimize Claude API performance with prompt caching, model selection, streaming, and latency reduction techniques. Use when experiencing slow responses, optimizing token usage, or reducing time-to-first-token in production. Trigger with phrases like "anthropic performance", "claude speed", "optimize claude latency", "anthropic caching", "faster claude responses".
| Implement content policy guardrails, input/output validation, and usage governance for Claude API integrations. Trigger with phrases like "anthropic guardrails", "claude content policy", "claude input validation", "anthropic safety rules".
Answers built from the skills we actually parsed.